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Examines the phenomenon of online auctions. Begins by developing a theoretical base for understanding how online and in‐person auctions should differ in terms of consumer risk. Online auctions with seller reserve prices are compared to in‐person auctions without seller reserve prices using data from 60 paired sales of collectible figurines. Online auctions are found to exceed in‐person auctions in both mean initial bid prices and mean final sales prices.

As the Hashemite Kingdom of Jordan celebrates its first centenary, this paper presents a critical reading of the development of architecture in the Kingdom reflecting the transformation of national identity.

The paper achieves this aim by performing an analytical diachronic survey of the main architectural styles and trends that emerged in Jordan and links the architectural styles and trends to four main historical periods that characterize the national temporal trajectory, supported by examples of buildings, projects and architects that represent each period.

The results show the impacts of different forms of architectural modernism on local practice and explore attempts to create a national architectural identity that range in their ideological drive from Pan-Arabism to Jordanian localism.

The research adds to the discourse on Arab cities and architecture and shows the development of architectural trends in an Arab Muslim country, focusing on the interaction of architectural modernism with local variables. The research aims to supplement literature on Arab architecture with a critical and nuanced historical account of Jordanian architecture in the English language to serve a global audience.

The purpose of this paper is to propose and test a healthcare framework of service quality, perceived value, and satisfaction in Ghana. More specifically, this study investigates the role and effect of service quality on patient satisfaction and perceived value in Ghana’s healthcare delivery.

Data were gathered through surveys administered to 113 healthcare patients in Ghana. partial least square-structural equation modeling analysis was used to empirically test the research model.

Results show healthcare quality significantly influences satisfaction and perceived value of healthcare delivery. Additionally, perceived value’s impact on satisfaction and behavioral intention shows that increasing perceived benefits while reducing perceived costs leads to repeat behavior and paves the way for retention strategy for healthcare management.

This study yields a series of limitations in its results and conclusions. These limitations and future research are discussed in Section 7 of the study.

This study contributes to the literature by examining the effects of healthcare service quality on patient satisfaction and perceived value, determining the effect of healthcare service quality on patients’ behavioral intention, and testing the proposed framework in Ghana, a fast growing and economically liberalized emerging country in Sub-Saharan Africa.

Recent decade has witnessed exponential growth in e-commerce segment, leading to emergence of various online selling platforms catering to diverse product requirements of customers. Such a development has provided impetus to both existing businesses and newly established ventures to make available their offerings through online selling platforms with a view to improve the reach of their products. This study is an attempt to identify the experience of registered vendors with the online marketplaces. It aims to develop and validate a scale to measure vendor's experience with e-commerce platforms.

As a part of the scale development process, relevant literature sources were scanned to spot the precise knowledge gap and to put in place a sound theoretical background for the study. Thereafter, a scientific approach was adopted for scale creation. First, the scale items were identified through interviews of vendors registered with major online selling platforms and other academic experts pertaining to the marketing domain. Subsequently, major dimensions of seller experience were identified through exploratory factor analysis (EFA) applied on data collected from active vendors by the means of a structured survey instrument. The final data set was subjected to confirmatory factor analysis (CFA) in a bid to validate the scale.

The study’s outcomes reveal that seller experience in an online marketplace can be best captured by a multidimensional scale characterized by six major dimensions. These are “Registration,”; “Product Listing”; “Pricing Autonomy”; “Ease of Pick-up and Delivery”; “Credit of Receivables” and “Vendor Assistance.” A proper emphasis to continually improve upon these dimensions by the e-commerce platforms is expected to enhance the utility and overall experience of vendors from such platforms. Existence of a mutually beneficial relationship between vendors and online marketplaces will help marketplaces to mitigate concerns like nonfulfillment of orders and dispatch of substandard products.

Sustainable long-term relations between vendors and online marketplaces hold the key for such marketplaces to render error-free and delightful service on each individual order received. Seller experience of registering and operating on such e-marketplaces inspite of playing a defining role in vendor–marketplace relations has received scant attention of researchers, both in academia and industry till date. The present research is a seminal attempt to address this gap in marketing literature and offer additional know-how.

The purpose of this study includes two parts. First, it introduces a machine-based method for model and instrument development and updating that integrates large sample qualitative data. Second, a new model and instrument for e-commerce customer satisfaction are developed.

The research occurs in two phases. In Phase 1, data collection occurs with a literature-based quantitative model and instrument that includes at least one qualitative scale item per construct. Data analysis of the resulting data includes factor analysis (FA) and latent semantic analysis text mining to generate an updated model and instrument. In Phase 2, data collection uses the new model and instrument. Data analysis in Phase 2 includes exploratory data analysis with FA, exploratory structural equation modeling and partial least square modeling.

As a result of the information gained by the integration of qualitative scales in the literature-based survey, the final model departs substantially from the initial research-based research model. It integrates many of the constructs known to impact a website and software usability from information systems research into a new e-retail satisfaction model.

The research method, as presented here, offers a strategy for integrating large scale qualitative data for refinement of models and the development of instruments. It is essentially a method of gaining the wisdom of crowds economically while simultaneously reducing the biases and laborious effort commonly associated with qualitative research.